Application of imperialist competitive algorithm to find minimax and standardized maximin optimal designs

DOI10.1016/j.csda.2016.06.014zbMath1464.62129OpenAlexW2475313441MaRDI QIDQ134017

Ehsan Masoudi, Weng Kee Wong, Heinz Holling, Heinz Holling, Weng Kee Wong, Ehsan Masoudi

Publication date: September 2017

Published in: Computational Statistics & Data Analysis, Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2016.06.014

zbMATH Keywords

local searchFisher information matrixevolutionary algorithm\(D\)-optimalitygeneral equivalence theoremapproximate design

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Optimal statistical designs (62K05) Approximation methods and heuristics in mathematical programming (90C59)

Related Items

Design admissibility and de la Garza phenomenon in multifactor experiments ⋮ Special issue on design of experiments ⋮ An algorithm based on semidefinite programming for finding minimax optimal designs ⋮ Adaptive grid semidefinite programming for finding optimal designs ⋮ A Metaheuristic Adaptive Cubature Based Algorithm to Find Bayesian Optimal Designs for Nonlinear Models ⋮ Optimal design of multifactor experiments via grid exploration ⋮ ICAOD ⋮ \(I_L\)-optimal designs for regression models under the second-order least squares estimator

Uses Software

• R
• GAMS
• Rcpp
• Rsolnp
• NLopt
• pso

Cites Work

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